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Target detection system based on micro aircraft

A technology for micro-aircraft and target detection, applied in aircraft, unmanned aerial vehicles, instruments, etc., can solve problems such as limitations, complex target detection algorithms, affecting the large-scale application of UAVs, etc. chemical effect

Active Publication Date: 2020-05-29
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The error of UAV attitude recognition limits the control of UAV to UAV to a certain extent, thus affecting the large-scale application of UAV
[0008] Moreover, the target detection algorithm of the existing visual recognition system on the UAV is complex and requires a large amount of computing resources as support. Therefore, the real-time and accuracy of target recognition need to be improved

Method used

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  • Target detection system based on micro aircraft
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Embodiment Construction

[0042] In order to make the purpose and technical solutions of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be und...

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Abstract

The invention provides a target detection system based on a micro aircraft. Video data is acquired through a camera arranged on a four-axis flying platform; and then, a Raspberry pi 4 micro-control unit and a Call USB acceleration rod additionally arranged on the Raspberry pi 4 micro-control unit are used for bearing a target detection system comprising a multi-branch depth separable convolutionalneural network and a Single Shot MultiBox Detector operation module to perform object detection on a frame picture in the video data. According to the invention, the size of the model is reduced by using depth separable convolution, and the generalization of the model is improved by using a multi-branch structure. According to the invention, under the condition that a Coral USB acceleration rod is additionally arranged on Raspberry pi 4, an object can be rapidly detected through a constructed MBDSCNN-SSD target detection model.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a target detection system based on a micro air vehicle. Background technique [0002] UAV system is a technology-intensive industry in the aerospace manufacturing industry, and its design and production process integrates a variety of high-tech systems. [0003] In the military, unmanned aerial vehicles have become the biggest bright spot in the weapons and equipment of various countries. Due to the characteristics of low operating cost, no risk of casualties, and easy use, UAVs can be widely used in anti-terrorism and riot control, emergency rescue and disaster relief, aerial survey and aerial photography, land and resource management, environmental protection, urban planning and management, film and television, and power departments. Line inspection, maritime patrol, highway inspection, fire prevention in forestry department, pest monitoring and control in agr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B64C39/02B64D47/08G06K9/00G06K9/62G06N3/04G06N3/08
CPCB64C39/024B64D47/08G06N3/08G06V20/13G06N3/045B64U30/20B64U50/19B64U2101/30G06F18/241
Inventor 姚德臣刘恒畅杨建伟张骄武向鹏寇子明国树东
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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